Tool overview
LMQL is listed under AI Infrastructure & MLOps AI tools.
What is LMQL?
LMQL is an open-source query language for language models. It lets developers combine prompts, variables, constraints, control flow, and decoding directives while targeting supported local or hosted models.
Best for
Researchers and developers programming constrained language-model interactions
Who is it for?
Decision note
Re-researched from current official sources in two passes under V411. Preview only. Apply only after failures = 0, warnings = 0, unmapped = 0, all explicit clears are reviewed, image import is disabled or V380 dimensions pass, and one representative WordPress edit screen is checked against the CSV.
Key features
Prompt-oriented query language
Constraints on generated variables
Control flow and reusable functions
Local and hosted model backends
Use cases
Building constrained prompt programs
Running reproducible LLM experiments
Extracting formatted model outputs
Comparing model backends
Pros
- Expressive declarative approach
- Open-source research foundation
- Supports reusable prompt logic
Limitations
LMQL is useful for controlled experiments and applications, but teams must validate current backend compatibility, performance, output semantics, and long-term maintenance.
Pricing details
Billing options
Pricing note
LMQL is free and open source. Users pay only for hosted model APIs, local compute, or infrastructure.
Supported languages
- English
Integrations
OpenAI
Hugging Face Transformers
llama.cpp
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